Assessing seasonal climate predictability using a deep learning application: NN4CAST
<p>Seasonal climate predictions are essential for climate services, with changes in tropical sea surface temperature (SST) representing the most influential oceanic drivers. SST anomalies can affect the climate in remote regions through various atmospheric teleconnection mechanisms, and the persiste...
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| Huvudupphov: | , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Copernicus Publications
2026-03-01
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| Serie: | Geoscientific Model Development |
| Länkar: | https://gmd.copernicus.org/articles/19/1917/2026/gmd-19-1917-2026.pdf |
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